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The purpose of this paper is to develop an emergency response model through systematic analysis on emergency logistics system and its operation. The origin and characteristics of emergency logistics are explained and contents and structural pattern of emergency logistics system are also analyzed. By studying operation of emergency logistics system and the general response process of disaster relief, we summarize those key measures concerning effective operation of emergency logistics system and handling emergency incidents. The emergency response model could assist emergency management department and authority in dealing with emergency incidents and help reduce damage and loss to a minimum level.

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In this paper, a single-well model based on the piecewise function and classical bistable stochastic resonance (CBSR) is proposed. The steady state probability density of particles and mean first passage time in the model are calculated. The output characteristics and performance of the proposed model are analyzed through numerical simulation. On the basis of CBSR and the proposed model, an adaptive system is established (ACSSR) to generate the highest gain of signal-to-noise ratio (SNRg). Finally, the effectiveness of ACSSR in weak signal detection is verified with both simulated and experimental input signals. The results indicate that the ACSSR could detect the defect signal correctly and improve the SNRg.